ABB Robotics

ABB Inc.

Graduate R&D Intern, January 2023 To April 2023

• Nvidia Jetson: A detailed study about inference time and result of DL model on Orin and ABB vision box using TensorRT.
• Deep Learning: Training and testing a transformer-based deep learning model for 3D semantic and instance segmentation on point cloud data involves: data collection using an RGBD camera, dataset creation, labeling, training, and evaluation. The research process includes exploring and selecting DL algorithms for vision and iterating on them.
• 3D Vision: To enhance 3D perception technology, algorithms for structure identification and classification during pick-and-place tasks Write preprocessing and post-processing code for the DL pipeline, including multi-processing for PCD generation from RGB and depth images. Document DL pipeline procedures and results systematically for traceability and effective knowledge sharing. Tools and Technologies:
Nvidia AGX Orin, DL Transformer, RGB-D Cameras, PyTorch, Open3D

Vimaan Robotics

Vimaan.ai

Robotics Intern, August 2022 To December 2022

• Localization: Development of localization system using camera to track the location of a forklift inside a warehouse.
• ROS-Python: In the robotics space collaborate with the firmware, hardware, computer vision & software team. Installation and updatation of different software patch on hardware. Bring up the new data and localization node before deploying it on the forklift.
• Hardware: Camera focusing and installation of sensor suit on forklift.
• Data Acquisition: Acquisition and analysis of data and images from the robots, servers and operations daily.

Tools and Technologies:
ROS, Python, Nvidia Xavier, Camera Technology

Automation, Robotics and Mechatronics (ARMLab), CUICAR

ARM Lab

Research Assistant, October 2021 To Present

• Reinforcement Learning AWS: Build AWS DeepRacer model for DeepRacer League. Create a training job to train reinforcement learning models with a reward function, optimization algorithm, environment, and hyperparameters. Evaluate a model by using SageMaker and AWS RoboMaker. Used Pure Pursuit and Stanley controller for defining reward function. Optimize the hyperparameters for competitive lap timings.
• ROS-MATLAB: On physical TurtleBot 3, using MATLAB-ROS toolboxes maneuvers like track and follow objects, Simultaneous Localization and Mapping (SLAM), obstacle avoidance, and wall following. Documentation of those tasks.
• High-Performance Computing - Docker: Build and deploy ROS-based docker images for a robot-like Husky & TurtleBot in a high-performance computing environment using Singularity containers for computation and simulation visualization. Train reinforcement learning models over cluster computing nodes (Palmetto Clusters). Create a document of this process pipeline for the training of other reseracher & intern in the lab.

Tools and Technologies:
AWS DeepRacer, Reinforcement Learning, Pure Pursuit and Stanley Controller, Robot Operating System (ROS), MATLAB, Simulink, Docker, Singularity, High Performnace Computing, Gazebo.

Tata Autocomp System Ltd, Chinchwad

TACO

Associate Engineer - SQA, June 2020 To December 2020

• Performance Review: As a supplier quality assurance engineer in a new product development department, coordinate periodic supplier performance reviews and provide a recommendation to reevaluate supplier status.
• Inspection: Quality inspection of the suppliers’ plastic, metal, and foam automotive interior parts with calipers.
• Quality PPAP: Failure mode and effects analysis (FMEA) of automotive parts and managing the Supplier Production Part Approval (SPPAP) documents to ensure effective and efficient review and disposition of supplier submittals.

Tools and Technologies:
Supplier Quality Assurance, PPAP Documents, FMEA.

Tata Technologies Ltd, Pune

Tata Technologies

Graduate Engineer Trainee (Engineering R&D), February 2019 To February 2020

• Passenger Vehicle CAD: 3D CAD wiring harness routing and packaging for passenger CNG and Electric Vehicle using CATIA V5- Engine WH, Cockpit WH, Console WH, Main, Battery, Doors WH. Projects: Tata Tiago CNG, Tigor EV.
• Design Release: Interaction and collaboration with the interdisciplinary teams for achieving design release deadlines.
• Electrical Schematics: Design electrical schematics of wiring harness using Capital Harness XC. Defining electrical and electronics hardware properties. Draft Info Fitment Drawings (IFD) for the assembly production line worker.
• Product Lifecycle Management: Professional Teamcenter for vehicle assembly visualization. Siemens PLM tool for design release, engineering change request, and data management.

Tools and Technologies:
Catia V5, Siemens PLM, Siemens Teamcenter, Capital Harness XC, Wiring Harness, Bill of Material, Info Fitment Drawing.

Team Rennsport

Team Member , February 2017 To January 2018

• Participated in national level Go-kart competition NKRC 2017, Bhopal

Tools and Technologies:
Fabrication Tools, Solid Works, AutoCAD

Devise Electronics, Pune

Devisee Electronics

Internship , December 2017 To January 2018

Basic and advance level in HEV Development process like IC Engine design, HEV Architecture, Electric Motors & Generators, Batteries and their Management Systems, Power Electronics & Control Systems. Practical training which included performing complete Hands-on with HEV Drivetrain Components and developing a working prototype EV powertrain.